MANUFACTURING ANALYTICS

We enable Smart Production by…

Reducing Waste | Improving Safety | Increasing Uptime |Accelerating Time to Market

 

Predictive Analytics in Manufacturing

 

With the advent of connected devices and IoT, Trusted Data are offering manufacturing clients and ability to gather and model operational data and drive process automation, responsiveness and cost-savings, through cutting edge Ai applications.

Our manufacturing analytics efforts are largely focused upon reducing operational downtime, driving improved yields and minimising waste. 

Improve Time to Market

How to Improve Market Responsiveness through Ai

Our approach to market responsiveness, involves looking at mutliple threats to output and speed. We use analytics to predict uncertain / unknown events in maintenance, improving asset integrity and LT performance. Through understanding demand more accurately, capacity planning capbilities are elevated and manufacturing teams are able to product the right amount at the right time at a lower cost.

 

Reduce Waste

Reducing Waste in Manufacturing

Waste has a number of dimensions in manufacturing; time, resource, equipment expenditure, raw materials and finished goods. 

Trusted Data’s approach to waste optimisation takes the clients’ context in mind, their business-specific challenge and manufacturing processes. We then apply advanced analytical approaches to remedy waste in manufacturing operations by ensuring the right number of resources arev allocated to highly performing equipment at the right time, and that production is not compromised by bottlenecks, incorrect demand forecasting and inaccurate capacity plans.

Output and Productivity

Increasing Manufacturing Output through Ai

Using machine and deep learning analytics we enable clients to predict equipment downtime threats before they happen so that manufaturing systems run at an optimal level each day.

Tracking throughput from production line, our solutions can identify sub-optima production yields in real time, so that corrective action can be taken by operators and maintenance teams.

 

Compliance

Enhancing Compliance through Analytics

By acquiring an ingerated perspective of manufacturing performnace, processes systems and personnel, Trusted Data use analytics to enhnace manufacturing compliance.

Using predictive analytics, set against a backdrop of legacy quality data, we can predict quality threats and identify root causes in the manufacturing chain.

By directing the right resources to maintenance activities, we ensure that the right level of capability is deployed across your organisation at the right place and time to ensure compliance levels are maintained throughout your operations.

Manufacturing Optimisation Analytics

 

Trusted Data are committed to developing efficiency and optimisation in manufacturing and processing operations by rapidly integrating data from sensor networks, operations data, enterprise systems and external providers to power intelligent decision making.

Using Ai & Machine Learning we are developing predictive and optimisation solutions to supercharge operations and asset management.

Predictive maintenance

Predictive Maintenance in Manufacturing

Trusted Data can deliver a fully integrated predictive maintenance solution that considers for many delivery attributes, including; asset renewal planning, asset health monitoring, maintenance prioritisation, asset benchmarking, anomaly detection and asset failure prediction.

Our predictive maintenance capabilities observe failure from 2 critical angles; firstly, the relative chance of equipment failure and secondly, the predicted leadtime for failure. When our predictive analytics solutions are delivered in this way to clients, they are able to assess risk from both a risk and planning perspective.

Asset utilisation

Asset utilisation analytics

Trusted Data’s asset utilisation analytics solutions assist clients in managing their end-to-end view of their assets’ life cycles.

Our solutions deliver improved asset availability, relaibility, and usability to client operations, extending the useful life of assets, improving asset ROI and reducing long term capital expenditure.

We deliver this through analytics that effectively monitors high value assets, embedding predictive maintenance intelligence, identifying optimal production run cycles, configuring ideal asset investment around demand and leveraging rules engines to predict abnormality in asset performance. 

Fault detection

Automated fault detection

Utilising advanced deep learning and maching learning capabilities, Trusted Data can assist clients to identify process and performance anomalies, enabling our clients to rapidly respond to these risks through unsupervised anomaly detection.

We do this by continuously monitoring failure prediction scores, historic failure events and key operational metrics to dynamically detect subtle / pronounced changes in asset integrity.

Sensor Health

Ensuring Sensor & IoT Effectiveness

Utilising Trusted Data’s real time analytics capabilities, clients can ensure the operational integrity of their connected devices and network infrastructure during both the deployment and the operational life cycle.

We validate device installation information to ensure realibility in advance of operational deployment.

During sensor deployment we also diagnose the sources of sensor malfunctions and optimise field service programs to rapidly address these issues.

We then monitor and analyse the integrity and the communications emanating from sensor devices to ensure the resources are routed to prompt issue resolution.

Tracking sensor health during installation and the operational life cycle, also offers client stakeholders a rich array of sensor performance data to support supplier assessment and performance vs budget.

Workforce sCHEDULING

Dynamic workforce scheduling

Trusted Data enable clients to mobilise their workforce requirements based on accurate projections of workforce demand.

Whilst classical approaches to workforce scheduling are predicated on an aggregated perception of production requirements, we thrive on optimising client workforce schedules, by dynamically adjusting workforce plans to changing operating circumstances, such as maintenance prioritisation. 

This involves using our predictive maintenance capabilities to identify what type of remedial action is required where, when and by whom. We can prioritise maintenance work based on the highest probability of failure, by asset, directing the right resources to the right equipment at the right time.

Asset Yield/THROUGHPUT

Manufacturing Yield Optimisation

Trusted Data’s approach to yield optimisation involves the application of advanced analytic techniques on clients’ operational and historic data to predict production yield, whilst determining root cause analysis at specific steps in the manufacturing chain.

Our solution features offer a range of stakeholders, the relevant insights and know-how to understand and respond to emerging product yield issues. Our yield optimisation solutions are operator-centric and action oriented, to enable real-time intervention, preventing waste, reducing safety threats and optimising yield in the process.

QUALITY ASSURANCE ANALYTICS

How we deliver Quality Assurance Analytics

Trusted Data’s approach to quality assurance analytics involves tracking which production cells or lines are deviating from acceptable quality thresholds. Our modelling methodology takes your quality objetctives into account and we model around this, enabling clients to make the most of their data and quickly identify / remedy underperforming operations. Continuous monitoring throughout the manufacturing process helps clients to identify quality problems early on for more effective, less costly solutions that don’t rely on manual quality checks.

Using our clients manufacturing and systems data we are able to predict quality issues using analytics and pattern recognition. We achieve this through a dynamic assessment of legacy issues, their supporting performance attributes and material tolerance levels. Knowing when, why and where quality defects have historically arisen allows our clients to identify a quality problem.

Energy Management

Energy Cost Reduction through Analytics

Trusted Data’s approach to energy managment in manufacturing helps our clients gain visibility into energy expenditure and quicker reponsiveness to tackle cost reduction.

Our energy management analytics solutions use advanced Ai optimisation algorithms to model building operations, define and detect anomalies and predict energy saving opportunities.

By streaming energy analysis, our solutions can provide clients with detailed insights into energy consumption trends, benchmarking performance by location and time.

High level energy data also requires disaggregation and we deliver this through intelligent analytics that decompose consumption data to identify constituent end-use loads, such as lighting and heating.

MANUFACTURING PROCESS ANALYTICS

What we offer in Manufacturing Process Analytics

Trusted Data believe that business process analytics offers companies an opportunity to get much more than a static model of their current processes, by acquiring a granular and more accurate picture of how systems and personnel are conducting tasks, enabling easier relationship discovery and ensuring that maufacturing processes are aligned with actual goals.

We track event logs from client systems and human action to visualise how processes actually happen, where vulnerabilities lie in your manufaturing processes and how best to remedy this to improve manufacturing performance.

 

SMART FACTORY

Smart Factory Analytics

Trusted Data leverage a suite of intelligent analytics approaches to deliver smart factories.

Whilst monitoring performance data is a first step in boosting productivity, there is so much more to be delivered through the data that manufacturing teams generate or have access to.

In production environments with short-run, variable product portfolios the analytics ROI opportunity is even more pronounced.

Our smart factory analytics solutions focus on 5 key pillars; process automation, downtime reduction, throughput assessment, equipment effectiveness and yield optimisation, which allows our manufacturing clients to adapt and grow with their organisational demands. 

Our customisable approach to this solution area allows our clients to configure Ai solutions that predict threats to operational integrity, deliver accurate capacity plans and forecast demand / supply bottlenecks well in advance.

The results are more responsive supply chains that get products to market quicker, cheaper and with standardised quality.

REAL TIME PRODUCTION REPORTING

Real-time production insights

Trusted Data are moving Production Reporting towards actionable intelligence, by focusing on portfolio visualisation, asset health tracking and diagnostics.

Using Ai, we are helping our clients to rapidly undertake drill down analysis of their assets, proactively assess real-time asset health, generate updated failure predictions, revise expense / capex projections and evaluate asset health trends over time and across configurable risk parameters.

Moving past this, we undertake causal analysis so operations teams can identify and diagnose conditions affecting asset failure, analysing assets by class at granular levels across the equipment hierarchy.

SUPPLY CHAIN INTEGRATION

Supply Chain Integration through Ai

At Trusted Data, we thrive on integrating operational and supply chain components, so that our clients’ planning, production and inventory management processes are driven through analytics for enhanced cost optimisation.

For example, projecting asset failure or improving supply planning capabilities are only part of the puzzle. What use are efforts in this space if your supply chain is not adequately integrated to delivery the right output efficiently.

Trusted Data can deliver more robust integration through your manufacturing chain by:

  • Predicting product demand and optimising raw materials inventory to avoid disruption / delays
  • Optimising production scheduling around demand to avoid bottlenecks / optimise staffing levels
  • Predicting asset failure and ensuring optimised holding of spare parts inventory to minimise downtime

 

Our Machine Learning in Manufacturing Delivery Model

Define the operations CHALLENGE & target performance outcome

Each clients’ operations challenge has its’ own unique dimensions; data, processes, business context and target improvement  outcome.

Likewise, Trusted Data’s approach to manufacturing solution design begins with identifying and defining the right problem for the client and how to clearly define success parameters, which underpin the solution modelling and deployment approach.

ACQUIRE THE right data & ASSIGN THE RIGHT solution methodology

Given the variety and scale of manufacturing data processed through Enterprise systems and Connected devices nowadays, it is no surprise that Enterprise solutions fail so often to deliver exactly what the Client wants.

Once we have defined the right problem, we turn our focus quickly to selection of the right data and modelling methodology, which will deliver your manufacturing improvement outcome.

Model & Deploy the right proprietary solution to achieve your TARGET outcome

By utilising AI & Machine Learning, we offer Clients added analytical horsepower to comb through the myriad of data which they warehouse, to extract the right insights and outcomes across maintenance, inventory management, production and quality.

Rather than ‘selling’ solutions, we focus on the ‘promise of success’, guaranteeing clients superior manufacturing performance through intelligent analytics.

U
Knowledge Transfer, Solution adaptation & impact tracking with the client

We remain to close to clients to support effective knowledge transfer, solution impact tracking and iterative refinements to solutions beyond Pilots or version 1.0

Client needs change and Trusted Data remain repsonsive to adapting solution functionality in  line with such requirements.

How We Set Ourselves Apart

AI-Driven Manufacturing Analytics

 

By combining industry nous, manufacturing sector knowledge together with Machine Learning and AI, we develop customised solutions that specifically target a step change improvement in manufacturing capabilities from a cost, quality and output perspective. Our manufacturing anlaytics solutions offer clients greater customisation and return in less time.

  • Flexible pricing (gain share or result driven)
  • Right| Data, Methodology & Modelling
  • Open source tools
  • Achieving target for you
  • Speedy delivery
  • Guaranteed ROI

Some of our Manufacturing Analytics Solutions

 

With extensive background in a number of aspects within manufacturing and supply chain, Trusted Data design and deliver Ai-solutions that automate client processes, deliver increased efficiency and ultimately reduce your operating cost base.

Predicting Outlet Level Demand

Regional Reduction in Dairy Waste

Integrated Planning in Manufacturing

Demand, supply & production planning in food production

More on Manufacting Analytics 

Supply Chain Survey Results Q1 2020: Planning & Ai

2020 Planning & Ai Survey Results   As data and supply chain enablers, Trusted Data, wanted to better understand the sentiment in the market around Artificial Intelligence and its’ potential place within future supply chain models, focused particularly on...

Demand planning goals and getting it right

Getting demand planning right   Forecasting is a common statistical task in business, where it helps to inform decisions about the scheduling of production, transportation and personnel, and provides a guide to long-term strategic planning. However, business...

What you can or cannot forecast

What you can or cannot forecast   Forecasting is required in many situations: deciding whether to build another power generation plant in the next five years requires forecasts of future demand; scheduling staff in a call centre next week requires forecasts of...

What you can or cannot forecast

What you can or cannot forecast   Forecasting is required in many situations: deciding whether to build another power generation plant in the next five years requires forecasts of future demand; scheduling staff in a call centre next week requires forecasts of...

Supply Chain Survey Results Q1 2020: Planning & Ai

2020 Planning & Ai Survey Results   As data and supply chain enablers, Trusted Data, wanted to better understand the sentiment in the market around Artificial Intelligence and its’ potential place within future supply chain models, focused particularly on...

Demand planning goals and getting it right

Getting demand planning right   Forecasting is a common statistical task in business, where it helps to inform decisions about the scheduling of production, transportation and personnel, and provides a guide to long-term strategic planning. However, business...

Join Our Newsletter

Stay tuned on latest

Connect With Us

T: 0844 589 1360

E: info@trytrusted.com